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Salary
$149k – $319k per year (Estimated)
Location
In office (Tel Aviv)
Seniority
Architect
Overview
Company
Impact
Profile match
ScaleOps is a cloud infrastructure automation company headquartered in Tel Aviv, Israel, and founded in 2022. The company provides an autonomous platform for Kubernetes resource management that continuously optimizes CPU, memory, and GPU allocations for containerized workloads in real-time. It serves global enterprises and AI-driven organizations by reducing cloud expenditures and improving application performance through automated pod rightsizing and node consolidation.

ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%.

As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. 

Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.

We're building ScaleOps to be an AI-first company internally, not just in our product. We're looking for a builder to sit inside the CEO office and own that mission end to end: setting the AI roadmap, and personally building and shipping the agents, skills, and tools that every GTM function runs on daily.

What you'll be doing

Set the AI roadmap for the company, and push AI initiatives across the organization

Run the weekly AI review, where each function shows what it automated that week

Enable the CEO directly, keeping him at the front line of AI technology, and drive tech stack improvements

Work closely with R&D leadership to ensure cross-company collaboration

Enabling the Sales, CX and Marketing teams to become AI-native

Ramp every new hire on the ScaleOps AI stack within their first two weeks

Audit every function for AI gaps and prioritize by revenue impact

Measure adoption - hours saved, tasks automated, usage rate per skill

Requirements 

Experience at building and shipping AI agents and processes in the last 18 months in a GTM or business operations context, not purely research

Experience leading at least 2-4 people

Highly technical, likely ex-engineer, able to build hands-on and not just direct

Comfortable operating at CEO speed

RevOps experience is a strong advantage - understands GTM workflows end-to-end, including pipeline, CRM hygiene, Gong, Salesforce, lead routing, and post-sales handoffs

Experience working embedded with a sales or marketing team, building AI on top of their actual workflows, is a strong advantage

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